{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Target\n",
    "\n",
    "![](http://r-statistics.co/screenshots/ggplot_masterlist_8_1.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "mpg= pd.read_csv(\"http://goo.gl/uEeRGu\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       ".vega-embed svg, .vega-embed canvas {\n",
       "  border: 1px dotted gray;\n",
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       "\n",
       ".vega-embed .vega-actions a {\n",
       "  margin-right: 6px;\n",
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\"drv\": \"f\", \"year\": 1999, \"model\": \"camry solara\", \"trans\": \"auto(l4)\", \"fl\": \"r\", \"class\": \"compact\", \"manufacturer\": \"toyota\", \"cyl\": 6}, {\"displ\": 3.0, \"hwy\": 26, \"cty\": 18, \"drv\": \"f\", \"year\": 1999, \"model\": \"camry solara\", \"trans\": \"manual(m5)\", \"fl\": \"r\", \"class\": \"compact\", \"manufacturer\": \"toyota\", \"cyl\": 6}, {\"displ\": 3.3, \"hwy\": 27, \"cty\": 18, \"drv\": \"f\", \"year\": 2008, \"model\": \"camry solara\", \"trans\": \"auto(s5)\", \"fl\": \"r\", \"class\": \"compact\", \"manufacturer\": \"toyota\", \"cyl\": 6}, {\"displ\": 1.8, \"hwy\": 30, \"cty\": 24, \"drv\": \"f\", \"year\": 1999, \"model\": \"corolla\", \"trans\": \"auto(l3)\", \"fl\": \"r\", \"class\": \"compact\", \"manufacturer\": \"toyota\", \"cyl\": 4}, {\"displ\": 1.8, \"hwy\": 33, \"cty\": 24, \"drv\": \"f\", \"year\": 1999, \"model\": \"corolla\", \"trans\": \"auto(l4)\", \"fl\": \"r\", \"class\": \"compact\", \"manufacturer\": \"toyota\", \"cyl\": 4}, {\"displ\": 1.8, \"hwy\": 35, \"cty\": 26, \"drv\": \"f\", \"year\": 1999, \"model\": \"corolla\", \"trans\": \"manual(m5)\", \"fl\": \"r\", \"class\": \"compact\", \"manufacturer\": \"toyota\", \"cyl\": 4}, {\"displ\": 1.8, \"hwy\": 37, \"cty\": 28, \"drv\": \"f\", \"year\": 2008, \"model\": \"corolla\", \"trans\": \"manual(m5)\", \"fl\": \"r\", \"class\": \"compact\", \"manufacturer\": \"toyota\", \"cyl\": 4}, {\"displ\": 1.8, \"hwy\": 35, \"cty\": 26, \"drv\": \"f\", \"year\": 2008, \"model\": \"corolla\", \"trans\": \"auto(l4)\", \"fl\": \"r\", \"class\": \"compact\", \"manufacturer\": \"toyota\", \"cyl\": 4}, {\"displ\": 4.7, \"hwy\": 15, \"cty\": 11, \"drv\": \"4\", \"year\": 1999, \"model\": \"land cruiser wagon 4wd\", \"trans\": \"auto(l4)\", \"fl\": \"r\", \"class\": \"suv\", \"manufacturer\": \"toyota\", \"cyl\": 8}, {\"displ\": 5.7, \"hwy\": 18, \"cty\": 13, \"drv\": \"4\", \"year\": 2008, \"model\": \"land cruiser wagon 4wd\", \"trans\": \"auto(s6)\", \"fl\": \"r\", \"class\": \"suv\", \"manufacturer\": \"toyota\", \"cyl\": 8}, {\"displ\": 2.7, \"hwy\": 20, \"cty\": 15, \"drv\": \"4\", \"year\": 1999, \"model\": \"toyota tacoma 4wd\", \"trans\": \"manual(m5)\", \"fl\": \"r\", \"class\": \"pickup\", \"manufacturer\": \"toyota\", \"cyl\": 4}, {\"displ\": 2.7, \"hwy\": 20, \"cty\": 16, \"drv\": \"4\", \"year\": 1999, \"model\": \"toyota tacoma 4wd\", \"trans\": \"auto(l4)\", \"fl\": \"r\", \"class\": \"pickup\", \"manufacturer\": \"toyota\", \"cyl\": 4}, {\"displ\": 2.7, \"hwy\": 22, \"cty\": 17, \"drv\": \"4\", \"year\": 2008, \"model\": \"toyota tacoma 4wd\", \"trans\": \"manual(m5)\", \"fl\": \"r\", \"class\": \"pickup\", \"manufacturer\": \"toyota\", \"cyl\": 4}, {\"displ\": 3.4, \"hwy\": 17, \"cty\": 15, \"drv\": \"4\", \"year\": 1999, \"model\": \"toyota tacoma 4wd\", \"trans\": \"manual(m5)\", \"fl\": \"r\", \"class\": \"pickup\", \"manufacturer\": \"toyota\", \"cyl\": 6}, {\"displ\": 3.4, \"hwy\": 19, \"cty\": 15, \"drv\": \"4\", \"year\": 1999, \"model\": \"toyota tacoma 4wd\", \"trans\": \"auto(l4)\", \"fl\": \"r\", \"class\": \"pickup\", \"manufacturer\": \"toyota\", \"cyl\": 6}, {\"displ\": 4.0, \"hwy\": 18, \"cty\": 15, \"drv\": \"4\", \"year\": 2008, \"model\": \"toyota tacoma 4wd\", \"trans\": \"manual(m6)\", \"fl\": \"r\", \"class\": \"pickup\", \"manufacturer\": \"toyota\", \"cyl\": 6}, {\"displ\": 4.0, \"hwy\": 20, \"cty\": 16, \"drv\": \"4\", \"year\": 2008, \"model\": \"toyota tacoma 4wd\", \"trans\": \"auto(l5)\", \"fl\": \"r\", \"class\": \"pickup\", \"manufacturer\": \"toyota\", \"cyl\": 6}, {\"displ\": 2.0, \"hwy\": 29, \"cty\": 21, \"drv\": \"f\", \"year\": 1999, \"model\": \"gti\", \"trans\": \"manual(m5)\", \"fl\": \"r\", \"class\": \"compact\", \"manufacturer\": \"volkswagen\", \"cyl\": 4}, {\"displ\": 2.0, \"hwy\": 26, \"cty\": 19, \"drv\": \"f\", \"year\": 1999, \"model\": \"gti\", \"trans\": \"auto(l4)\", \"fl\": \"r\", \"class\": \"compact\", \"manufacturer\": \"volkswagen\", \"cyl\": 4}, {\"displ\": 2.0, \"hwy\": 29, \"cty\": 21, \"drv\": \"f\", \"year\": 2008, \"model\": \"gti\", \"trans\": \"manual(m6)\", \"fl\": \"p\", \"class\": \"compact\", \"manufacturer\": \"volkswagen\", \"cyl\": 4}, {\"displ\": 2.0, \"hwy\": 29, \"cty\": 22, \"drv\": \"f\", \"year\": 2008, \"model\": \"gti\", \"trans\": \"auto(s6)\", \"fl\": \"p\", \"class\": \"compact\", \"manufacturer\": \"volkswagen\", \"cyl\": 4}, {\"displ\": 2.8, \"hwy\": 24, \"cty\": 17, \"drv\": \"f\", \"year\": 1999, \"model\": \"gti\", \"trans\": \"manual(m5)\", \"fl\": \"r\", \"class\": \"compact\", \"manufacturer\": \"volkswagen\", \"cyl\": 6}, {\"displ\": 1.9, \"hwy\": 44, \"cty\": 33, \"drv\": \"f\", \"year\": 1999, \"model\": \"jetta\", \"trans\": \"manual(m5)\", \"fl\": \"d\", \"class\": \"compact\", \"manufacturer\": \"volkswagen\", \"cyl\": 4}, {\"displ\": 2.0, \"hwy\": 29, \"cty\": 21, \"drv\": \"f\", \"year\": 1999, \"model\": \"jetta\", \"trans\": \"manual(m5)\", \"fl\": \"r\", \"class\": \"compact\", \"manufacturer\": \"volkswagen\", \"cyl\": 4}, {\"displ\": 2.0, \"hwy\": 26, \"cty\": 19, \"drv\": \"f\", \"year\": 1999, \"model\": \"jetta\", \"trans\": \"auto(l4)\", \"fl\": \"r\", \"class\": \"compact\", \"manufacturer\": \"volkswagen\", \"cyl\": 4}, {\"displ\": 2.0, \"hwy\": 29, \"cty\": 22, \"drv\": \"f\", \"year\": 2008, \"model\": \"jetta\", \"trans\": \"auto(s6)\", \"fl\": \"p\", \"class\": \"compact\", \"manufacturer\": \"volkswagen\", \"cyl\": 4}, {\"displ\": 2.0, \"hwy\": 29, \"cty\": 21, \"drv\": \"f\", \"year\": 2008, \"model\": \"jetta\", \"trans\": \"manual(m6)\", \"fl\": \"p\", \"class\": \"compact\", \"manufacturer\": \"volkswagen\", \"cyl\": 4}, {\"displ\": 2.5, \"hwy\": 29, \"cty\": 21, \"drv\": \"f\", \"year\": 2008, \"model\": \"jetta\", \"trans\": \"auto(s6)\", \"fl\": \"r\", \"class\": \"compact\", \"manufacturer\": \"volkswagen\", \"cyl\": 5}, {\"displ\": 2.5, \"hwy\": 29, \"cty\": 21, \"drv\": \"f\", \"year\": 2008, \"model\": \"jetta\", \"trans\": \"manual(m5)\", \"fl\": \"r\", \"class\": \"compact\", \"manufacturer\": \"volkswagen\", \"cyl\": 5}, {\"displ\": 2.8, \"hwy\": 23, \"cty\": 16, \"drv\": \"f\", \"year\": 1999, \"model\": \"jetta\", \"trans\": \"auto(l4)\", \"fl\": \"r\", \"class\": \"compact\", \"manufacturer\": \"volkswagen\", \"cyl\": 6}, {\"displ\": 2.8, \"hwy\": 24, \"cty\": 17, \"drv\": \"f\", \"year\": 1999, \"model\": \"jetta\", \"trans\": \"manual(m5)\", \"fl\": \"r\", \"class\": \"compact\", \"manufacturer\": \"volkswagen\", \"cyl\": 6}, {\"displ\": 1.9, \"hwy\": 44, \"cty\": 35, \"drv\": \"f\", \"year\": 1999, \"model\": \"new beetle\", \"trans\": \"manual(m5)\", \"fl\": \"d\", \"class\": \"subcompact\", \"manufacturer\": \"volkswagen\", \"cyl\": 4}, {\"displ\": 1.9, \"hwy\": 41, \"cty\": 29, \"drv\": \"f\", \"year\": 1999, \"model\": \"new beetle\", \"trans\": \"auto(l4)\", \"fl\": \"d\", \"class\": \"subcompact\", \"manufacturer\": \"volkswagen\", \"cyl\": 4}, {\"displ\": 2.0, \"hwy\": 29, \"cty\": 21, \"drv\": \"f\", \"year\": 1999, \"model\": \"new beetle\", \"trans\": \"manual(m5)\", \"fl\": \"r\", \"class\": \"subcompact\", \"manufacturer\": \"volkswagen\", \"cyl\": 4}, {\"displ\": 2.0, \"hwy\": 26, \"cty\": 19, \"drv\": \"f\", \"year\": 1999, \"model\": \"new beetle\", \"trans\": \"auto(l4)\", \"fl\": \"r\", \"class\": \"subcompact\", \"manufacturer\": \"volkswagen\", \"cyl\": 4}, {\"displ\": 2.5, \"hwy\": 28, \"cty\": 20, \"drv\": \"f\", \"year\": 2008, \"model\": \"new beetle\", \"trans\": \"manual(m5)\", \"fl\": \"r\", \"class\": \"subcompact\", \"manufacturer\": \"volkswagen\", \"cyl\": 5}, {\"displ\": 2.5, \"hwy\": 29, \"cty\": 20, \"drv\": \"f\", \"year\": 2008, \"model\": \"new beetle\", \"trans\": \"auto(s6)\", \"fl\": \"r\", \"class\": \"subcompact\", \"manufacturer\": \"volkswagen\", \"cyl\": 5}, {\"displ\": 1.8, \"hwy\": 29, \"cty\": 21, \"drv\": \"f\", \"year\": 1999, \"model\": \"passat\", \"trans\": \"manual(m5)\", \"fl\": \"p\", \"class\": \"midsize\", \"manufacturer\": \"volkswagen\", \"cyl\": 4}, {\"displ\": 1.8, \"hwy\": 29, \"cty\": 18, \"drv\": \"f\", \"year\": 1999, \"model\": \"passat\", \"trans\": \"auto(l5)\", \"fl\": \"p\", \"class\": \"midsize\", \"manufacturer\": \"volkswagen\", \"cyl\": 4}, {\"displ\": 2.0, \"hwy\": 28, \"cty\": 19, \"drv\": \"f\", \"year\": 2008, \"model\": \"passat\", \"trans\": \"auto(s6)\", \"fl\": \"p\", \"class\": \"midsize\", \"manufacturer\": \"volkswagen\", \"cyl\": 4}, {\"displ\": 2.0, \"hwy\": 29, \"cty\": 21, \"drv\": \"f\", \"year\": 2008, \"model\": \"passat\", \"trans\": \"manual(m6)\", \"fl\": \"p\", \"class\": \"midsize\", \"manufacturer\": \"volkswagen\", \"cyl\": 4}, {\"displ\": 2.8, \"hwy\": 26, \"cty\": 16, \"drv\": \"f\", \"year\": 1999, \"model\": \"passat\", \"trans\": \"auto(l5)\", \"fl\": \"p\", \"class\": \"midsize\", \"manufacturer\": \"volkswagen\", \"cyl\": 6}, {\"displ\": 2.8, \"hwy\": 26, \"cty\": 18, \"drv\": \"f\", \"year\": 1999, \"model\": \"passat\", \"trans\": \"manual(m5)\", \"fl\": \"p\", \"class\": \"midsize\", \"manufacturer\": \"volkswagen\", \"cyl\": 6}, {\"displ\": 3.6, \"hwy\": 26, \"cty\": 17, \"drv\": \"f\", \"year\": 2008, \"model\": \"passat\", \"trans\": \"auto(s6)\", \"fl\": \"p\", \"class\": \"midsize\", \"manufacturer\": \"volkswagen\", \"cyl\": 6}]}, \"encoding\": {\"y\": {\"aggregate\": \"count\", \"field\": \"*\"}, \"x\": {\"bin\": {\"step\": 1.0, \"maxbins\": 10.0}, \"field\": \"cty\", \"type\": \"quantitative\"}}, \"config\": {\"cell\": {\"width\": 500, \"height\": 350}}, \"mark\": \"bar\"};\n",
       "var selector = \"#88dbf520-9c34-4cf2-b36b-268cfb47b1b0\";\n",
       "var type = \"vega-lite\";\n",
       "\n",
       "var output_area = this;\n",
       "require(['nbextensions/jupyter-vega/index'], function(vega) {\n",
       "  vega.render(selector, spec, type, output_area);\n",
       "}, function (err) {\n",
       "  if (err.requireType !== 'scripterror') {\n",
       "    throw(err);\n",
       "  }\n",
       "});\n"
      ]
     },
     "metadata": {
      "jupyter-vega": "#88dbf520-9c34-4cf2-b36b-268cfb47b1b0"
     },
     "output_type": "display_data"
    },
    {
     "data": {
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"
     },
     "metadata": {
      "jupyter-vega": "#88dbf520-9c34-4cf2-b36b-268cfb47b1b0"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from altair import *\n",
    "chart = Chart(mpg)\n",
    "chart.mark_bar().encode(\n",
    "    y='count(*)',\n",
    "    x=X('cty', bin=Bin(\n",
    "            maxbins=10.0, step=1\n",
    "        ))\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Todo\n",
    "\n",
    "1. Can individually make the 2 histograms and the scatter. How to combine the three and ofcourse rotating one of the histograms by 90 degrees."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
